Numerical Methods for Fractional Differential Equations and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Difference and Differential Equations".
Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 15816
Special Issue Editors
Interests: numerical methods for fractional diffusion problems; numerical methods for partial differential equations; finite difference and finite element methods; computational linear algebra; large-scale scientific computing
Interests: nonlinear subdivision; image and signal processing; numerical methods for fractional diffusion problems
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Special Issue Information
Dear Colleagues,
Fractional differential equations comprise an important branch of mathematical analysis where differentiations can be of a non-integer order. For example, fractional diffusion problems describe anomalous processes in which the Brownian motion hypothesis is violated. The importance of this field is demonstrated by its capabilities in modeling various real-life phenomena. For example, there are models with fractional time derivatives involving Caputo operators or the Riemann–Liouville integral, as well as steady-state sub-diffusion problems requiring the fractional Laplacian operator. One of the most important properties of these models is that they are non-local. In a discrete case, the operators are represented by dense matrices. For this reason, the numerical solutions of non-local problems are generally very expensive in terms of computations and computer memory requirements. Fundamentally novel numerical methods are needed to meet the challenges of contemporary, real-life applications. One possible approach for a numerically efficient solution of such problems could be based on sparse approximation of the related dense matrix and/or of its inverse. This Special Issue aims to gather new results in numerical methods for fractional differential equations in time and space, addressing topics such as error and convergence analysis, computational complexity and computer simulations, as well as advanced applications in science and engineering.
Prof. Dr. Svetozar Margenov
Dr. Stanislav Harizanov
Guest Editors
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Keywords
- fractional differential equations in time and space
- models of phenomena with memory
- optimal control involving fractional diffusion
- coupled problems, phase separation and image segmentation
- error and convergence analysis
- computational complexity and computer simulations
- applications in science and engineering
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